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GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management

Youngsok Kim, Jaewon Lee, Jae-Eon Jo, Jangwoo Kim

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Tags: Computer science, GPGPU-sim, Memory model, nVidia, Tesla C2050

April 13, 2014 by hgpu

Test-driving Intel Xeon Phi

Jianbin Fang, Henk Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, Ana Lucia Varbanescu

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Tags: Computer science, Intel Xeon Phi, Package, Performance

April 13, 2014 by hgpu

Intrusion Detection using Spiking Neural Networks

Gaurav Budjade

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Tags: ATI, ATI Radeon HD 7970, Computer science, Neural networks, OpenCL, Python, Security

April 13, 2014 by hgpu

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

Jan Sikorski

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Tags: CUDA, Field equations, nVidia, nVidia GeForce GT 610, Physics, Thesis

April 13, 2014 by hgpu

Analysis and Review of Sorting Algorithms

Gaurav Kocher, Nikita Agrawa

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Tags: Algorithms, Computer science, OpenCL, Review, Sorting

April 12, 2014 by hgpu

Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications

V. Guerra, C. Quintana, J. Rufo, J. Rabadan, R. Perez-Jimenez

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenMP, Raytracing, Tesla M2050

April 12, 2014 by hgpu

MAP-based Brain Tissue Segmentation using Manifold Learning and Hierarchical Max-Flow regularization

Martin Rajchl, John S.H. Baxter, A. Jonathan McLeod, Jing Yuan, Wu Qiu, Terry M. Peters, James A. White, Ali R. Khan

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Tags: CUDA, Image processing, Medicine, nVidia, Self-organizing map, Tesla C2070

April 12, 2014 by hgpu

Fluid simulation with SIMPLE method using graphic processors

Ivan Devic

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, Tesla S1070, Thesis

April 12, 2014 by hgpu

High performance in silico virtual drug screening on many-core processors

Simon McIntosh-Smith, James Price, Richard B Sessions, Amaurys A Ibarra

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Tags: GPU, molecular docking, OpenCL, performance portability, virtual screening, Xeon Phi

April 11, 2014 by simonmcs

A Language for Nested Data Parallel Design-space Exploration on GPUs

Bo Joel Svensson, Mary Sheeran, Ryan R. Newton

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Tags: Computer science, CUDA, Data parallelism, Haskell, nVidia, nVidia GeForce GTX 680, Tesla C2070

April 11, 2014 by hgpu

A New method to Design Accurate Images with Tree Structural Transformations

Neelima Gogineni, C Ganga Bhavani, V S Giridhar Akula

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Tags: Algorithms, CUDA, Image processing, Image recognition, nVidia

April 11, 2014 by hgpu

Real-time Simulation of Foam and Sprays Based on the Weber Number

Lihui Zhang, Chao Zhang, Ying Li, Mengya Lv, Yong Tang

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Tags: 3D Graphics and Realism, Cg, Computer science, Fluid simulation, nVidia, nVidia GeForce GT 630, OpenGL

April 11, 2014 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Applications

GPUdmm: A High-Performance and Memory-Oblivious GPU Architecture Using Dynamic Memory Management

Test-driving Intel Xeon Phi

Intrusion Detection using Spiking Neural Networks

Implementation of algorithms for relativistic hydrodynamics using graphics processing units in CUDA framework

Analysis and Review of Sorting Algorithms

Parallelization of a Monte Carlo Ray Tracing Algorithm for Channel Modelling in Underwater Wireless Optical Communications

MAP-based Brain Tissue Segmentation using Manifold Learning and Hierarchical Max-Flow regularization

Fluid simulation with SIMPLE method using graphic processors

High performance in silico virtual drug screening on many-core processors

A Language for Nested Data Parallel Design-space Exploration on GPUs

A New method to Design Accurate Images with Tree Structural Transformations

Real-time Simulation of Foam and Sprays Based on the Weber Number

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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